Disease biology drives critical pipeline decisions
Our MultiomicsAI platform and data interpretation framework bring biological context to pipeline decisions.
Most decisions run on partial evidence
Teams often rely on only 5–20% of available molecular data when making critical decisions.
Context takes too long to assemble
Integrating molecular context can take six months or more, if it happens at all.
When context is missing, risk rises
Unclear biology slows decisions, increases iteration and complicates storytelling.
Context at scale with smart data adaptors
Bring private and public molecular datasets together quickly, so you can explore the full evidence landscape instead of working project-by-project in isolated files.
Let's overcome the current limitations on the number of datasets that can be contextualized for critical pipeline decisions and disease biology disoveries.
Molecular evidence linked with MultiomicsAI
Our knowledge-graph approach connects omics layers and translates between identifiers and models, so evidence becomes searchable, comparable, and reusable across programs.
We seamlessly link regulatory layers of coding and non-coding genes, established and yet-to-be-discovered biology. Between genetics and proteomics, mouse and human and more. With the flexibility to delve deeply into the areas your discoveries lead you.
Software-first for scientists, not just data teams
An intuitive workflow for upload, search, annotate, visualize, filter, rank, summarize, report and share, designed to turn molecular complexity into decision-ready insights.
The amount of data generated in Life Sciences is exploding. Working on a project-by-project basis and keeping your data science projects isolated is no longer an option.
We help you reduce the costs and risks of developing code repeatedly interrupted by new updates. Rely on professional software to focus on your innovations.
Proven data interpretation framework
Confidence doesn’t come from more data, but from asking the right questions. Our data interpretation framework helps teams set everything in the right context step-by-step so that critical evidence is systematically evaluated.
The proven framework serves as a checklist for biological insights, guiding teams to verify assumptions, avoid premature conclusions, and recognize when evidence is strong enough to move forward or when it’s time to stop.
Make decisions that are reproducible, comparable across projects and aligned among teams, whether you're working independently on the platform or collaborating with our experts.
De-risked 10+ clinical programs
Automatically link molecular data.
5–10× more data used for decisions
Easily structure data interpretation.
8–10 weeks from question to decision
Rapidly surface valuable evidence.